Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Hamid Dehghani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A universal bioluminescence tomography system for pre-clinical image-guided radiotherapy research
Tong, Z., Deng, Z., Xu, X., Newman, C., Jia, X., Zhong, Y., Reinhart, M., Tsouchlos, P., Devling, T., Dehghani, H., Iordachita, I., Saha, D., Wong, J. W. & Wang, K. K-H., 18 Jun 2024, arXiv, 25 p.Research output: Working paper/Preprint › Preprint
File -
Deep learning-enabled high-speed, multi-parameter diffuse optical tomography
Dale, R., Zheng, B., Orihuela-Espina, F., Ross, N., O'Sullivan, T. D., Howard, S. & Dehghani, H., 19 Jul 2024, In: Journal of Biomedical Optics. 29, 7, 21 p., 076004.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Downloads (Pure) -
Determination of output factor for CyberKnife using scintillation dosimetry and deep learning
Ocampo, J., Heyes, G., Dehghani, H., Scanlon, T., Jolly, S. & Gibson, A., 22 Jan 2024, In: Physics in Medicine and Biology. 69, 2, 12 p., 025024.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Downloads (Pure) -
Fluorescence diffuse optical monitoring of bioreactors: a hybrid deep learning and model-based approach for tomography
Cao, J., Gorecki, J., Dale, R., Redwood-Sawyerr, C., Kontoravdi, C., Polizzi, K., Rowlands, C. J. & Dehghani, H., 1 Sept 2024, In: Biomedical Optics Express. 15, 9, p. 5009-5024Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
In vivo bioluminescence tomography-guided system for pancreatic cancer radiotherapy research
Deng, Z., Xiangkun, X. U., Dehghani, H., Reyes, J., Zheng, L., Tran, P. T. & Wang, K. K. H., Aug 2024, In: Biomedical Optics Express. 15, 8, p. 4525-4539 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
-
Mild Traumatic Brain Injury Biomarker Study, a prospective cohort biomarker study of military and civilian participants with mTBI: mTBI-Predict
Jensen, O., Yiangou, A., Pringle, J., Fernandez-Espejo, D., Morris, K., Mullinger, K., Lucas, S., Bagshaw, A., Sitch, A., Deeks, J., Mazaheri, A., Dehghani, H., Ottridge, R., Ottridge, R., Rogers, J., Sinclair, A., Reynolds, R., Upthegrove, R., Terry, J., Park, H., Thaller, M., Hill, L. J., Jenkinson, N. & Smith, D.
US ARMY MEDICAL RESEARCH ACQUISITION ACTIVITY
30/09/23 → 29/09/28
Project: Research
-
BioSMART: BIOreactor Spatial Mapping and Actuation in Real Time
Engineering & Physical Science Research Council
1/02/23 → 31/01/25
Project: Research Councils
-
Mild Traumatic Brain Injury - Predict (Baseline Variability Study) a prospective cohort biomarker study of military and civilian participants with mTBI (Linked to Project 1570897)
Jenkinson, N., Dehghani, H., Upthegrove, R., Pringle, J., Jensen, O., Sinclair, A., Blanch, R., Reynolds, R., Hill, L. J., Sitch, A., Bagshaw, A., Lucas, S., Mazaheri, A., Rogers, J., Fernandez-Espejo, D., Mitchell, J., Deeks, J., Morris, K., Mullinger, K. & Wilson, M.
1/12/22 → 31/12/24
Project: Other Government Departments
-
Military Traumatic Brain Injury Biomarker Study, a prospective cohort biomarker study of military and civilian participants with mTBI
Lucas, S., Karavitaki, N., Bagshaw, A., Sinclair, A., Morris, K., Deeks, J., Blanch, R., Fernandez-Espejo, D., Upthegrove, R., Terry, J., Jensen, O., Belli, T., Sitch, A., Jenkinson, N., Mullinger, K., Dehghani, H., Smith, D., Mazaheri, A., Berhane, S. & Ottridge, R.
17/12/21 → 31/12/24
Project: Other Government Departments
-
Next generation deep tissue quantitative optical imaging
NATIONAL INSTITUTE OF HEALTH, USA
1/01/21 → 31/12/24
Project: Research
Datasets
-
NCI Spectal data for PLOS One 'Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy' publication
Mellors, B. (Creator) & Dehghani, H. (Creator), University of Birmingham, 9 Jul 2020
DOI: https://doi.org/10.25500/edata.bham.00000515
Dataset
-
Development of a multi-wavelength diffuse optical tomography system for early diagnosis of rheumatoid arthritis: simulation, phantoms and healthy human studies
Styles, I. (Creator) & Dehghani, H. (Creator), University of Birmingham, 2016
Dataset